Key enterprise concerns include privacy, accuracy, governance, security, and of course the cost of building their own AI models.

Brett Simpson, Co-Founder & Senior Analyst, Arete Research (AI Infra Summit Speaker 2019-2025)

Agentic AI is transforming the developer workforce, we’re exploring ideas such as placing a core set of developer leads in charge of a team of "virtual developers" (agent developers), rather than hiring and then letting go of a large number of real people for certain projects.

Donald Thompson, Distinguished Engineer, LinkedIn (AI Infra Summit Speaker 2024, 2025)

I’m looking closely at the potential of video foundation models, such as Sora from OpenAI, as an emerging area of interest for enterprises looking to explore multimodal capabilities beyond just text-based language models.

Arun Nandi, Chief Data & AI Officer, Carrier (AI Infra Summit Speaker 2023, 2024, 2025)

With increasing compute power on the edge, the pendulum is swinging back towards smart clients that can run AI locally, potentially reducing the need for massive data center infrastructure for inference.

Donald Thompson, Distinguished Engineer, LinkedIn

In the Lunar Rover, the AI system needs to make decisions in real-time, within 100 milliseconds, so can’t rely on sending data to the cloud. Our autonomous driving system handles mapping, localization, path planning, obstacle avoidance, and path execution. 

Eliana Stefani, Autonomy & AI Research Engineer, Lockheed Martin (AI Infra Summit speaker 2025)

Our biggest challenge is verifying and validating the safety and reliability of AI/ML systems, especially for certification in commercial aviation.

Bala Chidambaram, Chief Engineer & Senior Director, Autonomy, Office of the CTO, Boeing (AI Infra Summit speaker 2025)